Here is the tentative schedule of our class. I will try to keep this up to date. Remember that if you are presenting in a given week, you need to meet with me at least two weeks beforehand (having read and thought about the chapter) to plot and scheme, and then once more to finalize everything before you actually present/teach.
Wk
Date
Topic
Presenter
Readings
Lab topic
Term project
1
Jan 8
Becoming an “ecological detective”
Dr. B
Syllabus, Preface, Ch1
Gentle Intro to R
2
Jan 15
Ecological models and data
Dr. B
Ch1-2
Graphing & exploring data
3
Jan 22
Algebra and calculus review
Mike & Scott
Ch3 (Beginning)
Getting (more) comfortable with R
4
Jan 29
Bestiary of functions
Natalie & Paul
Ch 3, entirety
Deterministic functions
5
Feb 5
Probability and stochastic distributions
Amy & Meghan & Steven
Appendix, Ch 4
Using stochastic distributions
6
Feb 12
Stochastic simulation & power
Cami & Amanda
Ch5
Simulation & power analysis
Think about ideas
7
Feb 19
Likelihood and all that
Emily Haeuser & Angie & Joy
Ch6
Likelihood & parameter estimation
8
Feb 26
Emily Haeuser & Angie & Joy
Likelihood assignment
Data in hand!
9
Mar 5
Optimization methods
Meghan & Steven
Ch7
Open lab
Consultation period
Mar 12
Spring break
10
Mar 19
Likelihood examples
Scott & Emily Hall & Cami
Ch8
Intro to WinBUGS
11
Mar 26
Standard statistics revisited
Amy & Natalie & Emily Hall
Ch9
Standard stats in R
work
12
Apr 2
Modeling variance
Paul & Mike & Amanda
Ch10
Hierarchical models
work
13
Apr 9
Individuals present data & problem to class / group consult
5.
6.
7.
8.
Beers
9.
10.
11.
12.